Software for interactive segmentation of the carotid artery from 3D black blood magnetic resonance images

被引：12

作者：

Jin, Y

Ladak, HM ^{[1
]}

机构：

[1] Univ Western Ontario, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada

[2] Univ Western Ontario, Dept Med Biophys, London, ON N6H 5C1, Canada

[3] John P Robarts Res Inst, Imaging Res Labs, London, ON N6A 5K8, Canada

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2004年 / 75卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

segmentation; deformable models; initialization; medical imaging;

D O I：

10.1016/j.cmpb.2003.10.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A semiautomatic algorithm for segmenting organ surfaces from 3D medical images is presented in this work. The algorithm is based on a deformable model, and allows the user to initialize the model by combining and molding primitive shapes such as cylinders and spheres to form an initial approximate model of the organ surface. The initial model is automatically deformed to better fit organ boundaries. The algorithm was applied to segment the carotid bifurcation from 3D black blood magnetic resonance (MR) images of 5 subjects. The algorithm-segmented surfaces were compared to surfaces segmented manually by an experienced user. On average, approximately 3 min were required to segment an image using the algorithm, whereas 1 h was required for manual segmentation. The average distance between corresponding points on the manually and algorithm-segmented surfaces was 0.37 mm, whereas the average maximum distance was 2.03 mm. Moreover, algorithm-segmented surfaces exhibited less intra-operator variability than those segmented manually. (C) 2003 Elsevier Ireland Ltd. All rights reserved.

引用

页码：31 / 43

页数：13

共 18 条

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